3574 results found.
SemEval 2014 Task 4, SemEval 2015 Task 12
Written
Corpus,
Language Type:
Monolingual
Languages:
English
Availability:
Freely Available
License:
CreativeCommons
Size:
None Production Status:
Existing-used
Use:
Sentiment analysis
-
Paper title:Syntactically Aware Cross-Domain Aspect and Opinion Terms Extraction
-
Paper track:Short paper/
-
Paper status:Accept Oral
| Author Number | Name | Affiliation | Country |
|---|---|---|---|
| Main Contact | Oren Pereg | SemEval 2014 Task 4, SemEval 2015 Task 12 | /N |
Documentation:
https://www.aclweb.org/anthology/S14-2004.pdf, https://www.aclweb.org/anthology/S15-2082.pdf
IMDB movie reviews
Written
Corpus,
Language Type:
Monolingual
Languages:
English
Availability:
Freely Available
License:
Size:
425.7 MByte Production Status:
Existing-used
Use:
Document Classification, Text categorisation
-
Paper title:Go Simple and Pre-Train on Domain-Specific Corpora: On the Role of Training Data for Text Classification
-
Paper track:Short paper/
-
Paper status:Accept Poster
| Author Number | Name | Affiliation | Country |
|---|---|---|---|
| Main Contact | Aleksandra Edwards | IMDB movie reviews | /N |
Documentation:
None
20 Newsgroups Data Set
Written
Corpus,
Language Type:
Monolingual
Languages:
English
Availability:
Freely Available
License:
Size:
88.3 MByte Production Status:
Existing-used
Use:
Document Classification, Text categorisation
-
Paper title:Go Simple and Pre-Train on Domain-Specific Corpora: On the Role of Training Data for Text Classification
-
Paper track:Short paper/
-
Paper status:Accept Poster
| Author Number | Name | Affiliation | Country |
|---|---|---|---|
| Main Contact | Aleksandra Edwards | 20 Newsgroups Data Set | /N |
Documentation:
None
AG News
Written
Corpus,
Language Type:
Monolingual
Languages:
English
Availability:
Freely Available
License:
Size:
620.8 MByte Production Status:
Existing-used
Use:
Document Classification, Text categorisation
-
Paper title:Go Simple and Pre-Train on Domain-Specific Corpora: On the Role of Training Data for Text Classification
-
Paper track:Short paper/
-
Paper status:Accept Poster
| Author Number | Name | Affiliation | Country |
|---|---|---|---|
| Main Contact | Aleksandra Edwards | AG News | /N |
Documentation:
None
Semeval 2018 Task 2 - Multilingual Emoji Prediction
Written
Corpus,
Language Type:
Monolingual
Languages:
English
Availability:
Freely Available
License:
Size:
246 KByte Production Status:
Existing-used
Use:
Document Classification, Text categorisation
-
Paper title:Go Simple and Pre-Train on Domain-Specific Corpora: On the Role of Training Data for Text Classification
-
Paper track:Short paper/
-
Paper status:Accept Poster
| Author Number | Name | Affiliation | Country |
|---|---|---|---|
| Main Contact | Aleksandra Edwards | Semeval 2018 Task 2 - Multilingual Emoji Prediction | /N |
Documentation:
None
SemEval-2016 Task 4, Subtask A: Sentiment Analysis on Twitter
Written
Corpus,
Language Type:
Monolingual
Languages:
English
Availability:
Freely Available
License:
Size:
2.4 MByte Production Status:
Existing-used
Use:
Document Classification, Text categorisation
-
Paper title:Go Simple and Pre-Train on Domain-Specific Corpora: On the Role of Training Data for Text Classification
-
Paper track:Short paper/
-
Paper status:Accept Poster
| Author Number | Name | Affiliation | Country |
|---|---|---|---|
| Main Contact | Aleksandra Edwards | SemEval-2016 Task 4, Subtask A: Sentiment Analysis on Twitter | /N |
Documentation:
None
MS-COCO
Multimodal/Multimedia
Corpus,
Language Type:
Monolingual
Languages:
English
Availability:
Freely Available
License:
Creative Commons Attribution 4.0 License.
Size:
450000 sentences Production Status:
Existing-used
Use:
Evaluation/Validation
-
Paper title:Probing Multimodal Embeddings for Linguistic Properties: the Visual-Semantic Case
-
Paper track:Long paper/
-
Paper status:Accept Oral
| Author Number | Name | Affiliation | Country |
|---|---|---|---|
| Main Contact | Adam Dahlgren Lindström | MS-COCO | /N |
Documentation:
https://cocodataset.org/
Natural Questions
Written
Corpus,
Language Type:
Monolingual
Languages:
English
Availability:
From Owner
License:
Creative Commons Share-Alike 3.0
Size:
None Production Status:
Existing-used
Use:
Question Answering
-
Paper title:A Study on Efficiency, Accuracy and Document Structure for Answer Sentence Selection
-
Paper track:Long paper/
-
Paper status:Accept Poster
| Author Number | Name | Affiliation | Country |
|---|---|---|---|
| Main Contact | Daniele Bonadiman | Natural Questions | /N |
Documentation:
None
Stanford Question Answering Dataset
Written
Corpus,
Language Type:
Monolingual
Languages:
English
Availability:
From Owner
License:
CC BY-SA 4.0
Size:
None Production Status:
Existing-used
Use:
Question Answering
-
Paper title:A Study on Efficiency, Accuracy and Document Structure for Answer Sentence Selection
-
Paper track:Long paper/
-
Paper status:Accept Poster
| Author Number | Name | Affiliation | Country |
|---|---|---|---|
| Main Contact | Daniele Bonadiman | Stanford Question Answering Dataset | /N |
Documentation:
None
WikiQA
Written
Corpus,
Language Type:
Monolingual
Languages:
English
Availability:
From Owner
License:
MICROSOFT RESEARCH DATA LICENSE AGREEMENT
Size:
None Production Status:
Existing-used
Use:
Question Answering
-
Paper title:A Study on Efficiency, Accuracy and Document Structure for Answer Sentence Selection
-
Paper track:Long paper/
-
Paper status:Accept Poster
| Author Number | Name | Affiliation | Country |
|---|---|---|---|
| Main Contact | Daniele Bonadiman | WikiQA | /N |
Documentation:
None